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CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
14 years 10 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
ICMI
2003
Springer
138views Biometrics» more  ICMI 2003»
15 years 3 months ago
Large vocabulary sign language recognition based on hierarchical decision trees
The major difficulty for large vocabulary sign language or gesture recognition lies in the huge search space due to a variety of recognized classes. How to reduce the recognition ...
Gaolin Fang, Wen Gao, Debin Zhao
PAA
2010
14 years 5 months ago
A comparative study on feature extraction for fingerprint classification and performance improvements using rank-level fusion
Abstract Fingerprint classification represents an important preprocessing step in fingerprint identification, which can be very helpful in reducing the cost of searching large fing...
Uday Rajanna, Ali Erol, George Bebis
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
16 years 22 hour ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
ECML
2005
Springer
15 years 3 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu